Medal Unveils Platform to Pioneer the Creation of a Unified, Contextual Record of Health

ORLANDO, Fla.–(BUSINESS WIRE)–Medal
Inc. today announced the debut of its platform that can extract,
transform and use the vast and fragmented information that exists about
patients – and present it to healthcare providers in a timely and
meaningful way.

Health data is only purposeful when it is accessible and contextual.
Medal developed a complete system for extracting medical information
from every possible source where data is trapped: fax, printed paper,
health information exchange data, and from EMRs. Machine learning and
Natural Language Processing (NLP) match more than 300 medical attributes
to each word of unstructured text, allowing clinicians to more easily
gain access to critical data that could save a patient’s life.

Medal’s platform pipeline leverages Fast Healthcare Interoperability
Resources (FHIR) standards to unlock medical silos and enable the secure
and seamless sharing of a patient’s medical data, including physician
notes and care summaries, among patients, providers, payers and
researchers. It accounts for the variability of data types with the
ability to digest existing and future data formats, and both structured
and unstructured data.

Information about the patient is presented in an intuitive and
streamlined way, wrapped within a clinical narrative, so that end-users
can gain patient insights rapidly and reduce manual labor by up to 20
times.

“To provide quality patient care, quickly and cost-effectively, care
teams must not only have access to critical data, they have to understandit,” said Lonnie Rae, Medal founder and CEO. “We founded Medal to
solve a massive challenge facing our healthcare industry, which is
overrun with fragmented data that often lacks context. The entire
healthcare ecosystem will transform when information is easily
accessible, easily understood and can be shared seamlessly, rapidly and
securely.”

Medal will host platform demonstrations at the NewWave booth (#509) at
HIMSS in Orlando, February 11-15.

About Medal

Medal
Inc. delivers a complete platform pipeline to extract health
information from fragmented data sources where it is trapped: fax,
paper, health information exchanges, legacy databases, and from
electronic health records. Medal’s Natural Language Processing and
Machine Learning algorithms apply 18 different processing pipelines and
query over 300 medical attributes for each word of unstructured text,
translating it to FHIR, and making Medal the most comprehensive clinical
narrative platform on the market. Medal Inc. is based in San Francisco,
CA.